Abstract
Reordering is of essential importance for phrase based statistical machine translation. In this paper, we would like to present a new method of reordering in phrase based statistical machine translation. We inspired from [1] using preprocessing reordering approaches. We used shallow parsing and transformation rules to reorder the source sentence. The experiment results from English-Vietnamese pair showed that our approach achieves significant improvements over MOSES which is the state-of-the art phrase based system.
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Vuong, HT., Tu, D.N., Le Nguyen, M., Van Nguyen, V. (2012). Shallow Syntactic Preprocessing for Statistical Machine Translation. In: Isahara, H., Kanzaki, K. (eds) Advances in Natural Language Processing. JapTAL 2012. Lecture Notes in Computer Science(), vol 7614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33983-7_11
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DOI: https://doi.org/10.1007/978-3-642-33983-7_11
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